Image Classification on ImageNet-1K (val) (Accuracy and Storage)
69.8AccuracyFull ImageNet-1K
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Full ImageNet-1KBackbone=ResNet182024.10 | 69.8 | 138 | |
| LPLDIPC=400, Label storage compression ratio=1x, Backbone=ResNet182024.10 | 67.4 | 237 | |
| LPLDIPC=300, Label storage compression ratio=1x, Backbone=ResNet182024.10 | 65.3 | 178 | |
| LPLDIPC=400, Label storage compression ratio=30x, Backbone=ResNet182024.10 | 65.2 | 13 | |
| LPLDIPC=400, Label storage compression ratio=40x, Backbone=ResNet182024.10 | 64.6 | 12 | |
| LPLDIPC=300, Label storage compression ratio=30x, Backbone=ResNet182024.10 | 62.6 | 10 | |
| LPLDIPC=300, Label storage compression ratio=40x, Backbone=ResNet182024.10 | 61.9 | 9 |